p style="text-align:inherit"/>Responsible for designing, developing, modifying and evaluating electronic parts, components, integrated circuitry for electronic equipment, other hardware systems, or electrical engineering applications.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.
Rochester, NY30+ days ago
p>The Senior Risk Engineer, Equipment Breakdown performs risk evaluations, evaluates exposures and controls, develops meaningful loss estimates, and communicates findings to business partners. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications and Hubbell Electrical Solutions (HES) are essential to managing power across a wide range of industries and applications. The successful candidate will create and maintain detailed 3D models and engineering drawings, as well as develop and analyze Finite Element Analysis (FEA) models to support product design, validation, and optimization efforts.
Hubbell Utility Solutions (HUS) enable the grid to conduct, communicate and control energy across utility applications and Hubbell Electrical Solutions (HES) are essential to managing power across a wide range of industries and applications. The successful candidate will create and maintain detailed 3D models and engineering drawings, as well as develop and analyze Finite Element Analysis (FEA) models to support product design, validation, and optimization efforts.
Following are examples of responsibilities in this role, however the role is not necessarily limited to this list and can vary from project to project: - You will be expected to quickly understand the architecture and functional requirements of the project in order to effectively communicate and collaborate with systems engineers and architects.
The Must Haves:
- Minimum Bachelor's degree in Electrical or Computer Engineering, Computer Science or other applicable scientific degree coupled with expert level experience in the use of System Verilog, UVM, SVA, and simulators from major vendors.
li>1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
Rochester, NY30+ days ago
p>Carestream is a worldwide provider of medical imaging systems and solutions; x-ray imaging systems for non-destructive testing; manufacturing of film and precision contract coating services for a wide range of industrial, medical, electronic and other applications-all backed by a global service and support network. - Bachelor's or Master's degree in Systems Engineering, Mechatronics Engineering, Computer Engineering, Robotics Engineering, Automation Engineering, Electrical Engineering, Biomedical Engineering or a related STEM field.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.